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- W4300630077 abstract "With the increase of the capacity of the power grid and the voltage level, the pollution flashover accidents of insulators in the power system frequently occur, which leads to the decrease of the stability of the power grid and affects the production and domestic electricity consumption. At present, the prediction of insulator pollution flashover mainly relies on the characteristic parameters obtained by various single-function detection devices and the prediction accuracy is low. In this paper, the pollution flashover probability of insulators is predicted by exploring the evolution law of discharge defects of polluted insulators. By combining infrared image temperature and leakage current detection data, the probability density distribution of infrared temperature and leakage current envelopes is studied and a joint probability density function is constructed. Based on the joint probability density function, the probability of insulator pollution flashover is predicted and verified by experiments. The experimental results show that the prediction of insulator pollution flashover based on the joint probability density has higher accuracy than the prediction of single characteristic parameter which is of great significance for insulator pollution flashover warning." @default.
- W4300630077 created "2022-10-03" @default.
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- W4300630077 date "2022-05-27" @default.
- W4300630077 modified "2023-10-18" @default.
- W4300630077 title "Pollution Flashover Prediction of Insulators Based on Combined Probability Density of Infrared Image Temperature and Leakage Current" @default.
- W4300630077 doi "https://doi.org/10.1109/cieec54735.2022.9846194" @default.
- W4300630077 hasPublicationYear "2022" @default.
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